{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from pandas import Series, DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = sns.load_dataset('flights')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949</td>\n",
       "      <td>January</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949</td>\n",
       "      <td>February</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1949</td>\n",
       "      <td>March</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1949</td>\n",
       "      <td>April</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1949</td>\n",
       "      <td>May</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year     month  passengers\n",
       "0  1949   January         112\n",
       "1  1949  February         118\n",
       "2  1949     March         132\n",
       "3  1949     April         129\n",
       "4  1949       May         121"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(144, 3)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = df.pivot(index='month', columns='year', values='passengers')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>year</th>\n",
       "      <th>1949</th>\n",
       "      <th>1950</th>\n",
       "      <th>1951</th>\n",
       "      <th>1952</th>\n",
       "      <th>1953</th>\n",
       "      <th>1954</th>\n",
       "      <th>1955</th>\n",
       "      <th>1956</th>\n",
       "      <th>1957</th>\n",
       "      <th>1958</th>\n",
       "      <th>1959</th>\n",
       "      <th>1960</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>January</th>\n",
       "      <td>112</td>\n",
       "      <td>115</td>\n",
       "      <td>145</td>\n",
       "      <td>171</td>\n",
       "      <td>196</td>\n",
       "      <td>204</td>\n",
       "      <td>242</td>\n",
       "      <td>284</td>\n",
       "      <td>315</td>\n",
       "      <td>340</td>\n",
       "      <td>360</td>\n",
       "      <td>417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>February</th>\n",
       "      <td>118</td>\n",
       "      <td>126</td>\n",
       "      <td>150</td>\n",
       "      <td>180</td>\n",
       "      <td>196</td>\n",
       "      <td>188</td>\n",
       "      <td>233</td>\n",
       "      <td>277</td>\n",
       "      <td>301</td>\n",
       "      <td>318</td>\n",
       "      <td>342</td>\n",
       "      <td>391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>March</th>\n",
       "      <td>132</td>\n",
       "      <td>141</td>\n",
       "      <td>178</td>\n",
       "      <td>193</td>\n",
       "      <td>236</td>\n",
       "      <td>235</td>\n",
       "      <td>267</td>\n",
       "      <td>317</td>\n",
       "      <td>356</td>\n",
       "      <td>362</td>\n",
       "      <td>406</td>\n",
       "      <td>419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>April</th>\n",
       "      <td>129</td>\n",
       "      <td>135</td>\n",
       "      <td>163</td>\n",
       "      <td>181</td>\n",
       "      <td>235</td>\n",
       "      <td>227</td>\n",
       "      <td>269</td>\n",
       "      <td>313</td>\n",
       "      <td>348</td>\n",
       "      <td>348</td>\n",
       "      <td>396</td>\n",
       "      <td>461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>May</th>\n",
       "      <td>121</td>\n",
       "      <td>125</td>\n",
       "      <td>172</td>\n",
       "      <td>183</td>\n",
       "      <td>229</td>\n",
       "      <td>234</td>\n",
       "      <td>270</td>\n",
       "      <td>318</td>\n",
       "      <td>355</td>\n",
       "      <td>363</td>\n",
       "      <td>420</td>\n",
       "      <td>472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>June</th>\n",
       "      <td>135</td>\n",
       "      <td>149</td>\n",
       "      <td>178</td>\n",
       "      <td>218</td>\n",
       "      <td>243</td>\n",
       "      <td>264</td>\n",
       "      <td>315</td>\n",
       "      <td>374</td>\n",
       "      <td>422</td>\n",
       "      <td>435</td>\n",
       "      <td>472</td>\n",
       "      <td>535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>July</th>\n",
       "      <td>148</td>\n",
       "      <td>170</td>\n",
       "      <td>199</td>\n",
       "      <td>230</td>\n",
       "      <td>264</td>\n",
       "      <td>302</td>\n",
       "      <td>364</td>\n",
       "      <td>413</td>\n",
       "      <td>465</td>\n",
       "      <td>491</td>\n",
       "      <td>548</td>\n",
       "      <td>622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>August</th>\n",
       "      <td>148</td>\n",
       "      <td>170</td>\n",
       "      <td>199</td>\n",
       "      <td>242</td>\n",
       "      <td>272</td>\n",
       "      <td>293</td>\n",
       "      <td>347</td>\n",
       "      <td>405</td>\n",
       "      <td>467</td>\n",
       "      <td>505</td>\n",
       "      <td>559</td>\n",
       "      <td>606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>September</th>\n",
       "      <td>136</td>\n",
       "      <td>158</td>\n",
       "      <td>184</td>\n",
       "      <td>209</td>\n",
       "      <td>237</td>\n",
       "      <td>259</td>\n",
       "      <td>312</td>\n",
       "      <td>355</td>\n",
       "      <td>404</td>\n",
       "      <td>404</td>\n",
       "      <td>463</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>October</th>\n",
       "      <td>119</td>\n",
       "      <td>133</td>\n",
       "      <td>162</td>\n",
       "      <td>191</td>\n",
       "      <td>211</td>\n",
       "      <td>229</td>\n",
       "      <td>274</td>\n",
       "      <td>306</td>\n",
       "      <td>347</td>\n",
       "      <td>359</td>\n",
       "      <td>407</td>\n",
       "      <td>461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>November</th>\n",
       "      <td>104</td>\n",
       "      <td>114</td>\n",
       "      <td>146</td>\n",
       "      <td>172</td>\n",
       "      <td>180</td>\n",
       "      <td>203</td>\n",
       "      <td>237</td>\n",
       "      <td>271</td>\n",
       "      <td>305</td>\n",
       "      <td>310</td>\n",
       "      <td>362</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>December</th>\n",
       "      <td>118</td>\n",
       "      <td>140</td>\n",
       "      <td>166</td>\n",
       "      <td>194</td>\n",
       "      <td>201</td>\n",
       "      <td>229</td>\n",
       "      <td>278</td>\n",
       "      <td>306</td>\n",
       "      <td>336</td>\n",
       "      <td>337</td>\n",
       "      <td>405</td>\n",
       "      <td>432</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "year       1949  1950  1951  1952  1953  1954  1955  1956  1957  1958  1959  \\\n",
       "month                                                                         \n",
       "January     112   115   145   171   196   204   242   284   315   340   360   \n",
       "February    118   126   150   180   196   188   233   277   301   318   342   \n",
       "March       132   141   178   193   236   235   267   317   356   362   406   \n",
       "April       129   135   163   181   235   227   269   313   348   348   396   \n",
       "May         121   125   172   183   229   234   270   318   355   363   420   \n",
       "June        135   149   178   218   243   264   315   374   422   435   472   \n",
       "July        148   170   199   230   264   302   364   413   465   491   548   \n",
       "August      148   170   199   242   272   293   347   405   467   505   559   \n",
       "September   136   158   184   209   237   259   312   355   404   404   463   \n",
       "October     119   133   162   191   211   229   274   306   347   359   407   \n",
       "November    104   114   146   172   180   203   237   271   305   310   362   \n",
       "December    118   140   166   194   201   229   278   306   336   337   405   \n",
       "\n",
       "year       1960  \n",
       "month            \n",
       "January     417  \n",
       "February    391  \n",
       "March       419  \n",
       "April       461  \n",
       "May         472  \n",
       "June        535  \n",
       "July        622  \n",
       "August      606  \n",
       "September   508  \n",
       "October     461  \n",
       "November    390  \n",
       "December    432  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11426c550>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7n5xMzMxKrl65JCK267ovaRLpQu3vSRqXq4fsBtwK3A+cIWk0MArYkLQ436eqkkle1T+D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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11425b748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1145c9f28>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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06WVkFs7DVf8RbfveIKfyFuSK5K38VSvkzC60MDUrnQ/q2tjV4eeJHbWcmm1i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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1145b3a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114c71ef0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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w9/Ug5ULFi/vu4UFYOthy48BZ9IVFFGZrOTljFfoiHRonO0L7tufKtiNY2Fnj374RCrUK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6FS81qf501SHFft30u2VsuKvXtYsVcmOA7v3JVpa1djoVJhZWnJxD79ALiTnISHS/kCCcDawwfI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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1149aeb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df, annot=True, fmt='d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>year</th>\n",
       "      <th>1949</th>\n",
       "      <th>1950</th>\n",
       "      <th>1951</th>\n",
       "      <th>1952</th>\n",
       "      <th>1953</th>\n",
       "      <th>1954</th>\n",
       "      <th>1955</th>\n",
       "      <th>1956</th>\n",
       "      <th>1957</th>\n",
       "      <th>1958</th>\n",
       "      <th>1959</th>\n",
       "      <th>1960</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>January</th>\n",
       "      <td>112</td>\n",
       "      <td>115</td>\n",
       "      <td>145</td>\n",
       "      <td>171</td>\n",
       "      <td>196</td>\n",
       "      <td>204</td>\n",
       "      <td>242</td>\n",
       "      <td>284</td>\n",
       "      <td>315</td>\n",
       "      <td>340</td>\n",
       "      <td>360</td>\n",
       "      <td>417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>February</th>\n",
       "      <td>118</td>\n",
       "      <td>126</td>\n",
       "      <td>150</td>\n",
       "      <td>180</td>\n",
       "      <td>196</td>\n",
       "      <td>188</td>\n",
       "      <td>233</td>\n",
       "      <td>277</td>\n",
       "      <td>301</td>\n",
       "      <td>318</td>\n",
       "      <td>342</td>\n",
       "      <td>391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>March</th>\n",
       "      <td>132</td>\n",
       "      <td>141</td>\n",
       "      <td>178</td>\n",
       "      <td>193</td>\n",
       "      <td>236</td>\n",
       "      <td>235</td>\n",
       "      <td>267</td>\n",
       "      <td>317</td>\n",
       "      <td>356</td>\n",
       "      <td>362</td>\n",
       "      <td>406</td>\n",
       "      <td>419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>April</th>\n",
       "      <td>129</td>\n",
       "      <td>135</td>\n",
       "      <td>163</td>\n",
       "      <td>181</td>\n",
       "      <td>235</td>\n",
       "      <td>227</td>\n",
       "      <td>269</td>\n",
       "      <td>313</td>\n",
       "      <td>348</td>\n",
       "      <td>348</td>\n",
       "      <td>396</td>\n",
       "      <td>461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>May</th>\n",
       "      <td>121</td>\n",
       "      <td>125</td>\n",
       "      <td>172</td>\n",
       "      <td>183</td>\n",
       "      <td>229</td>\n",
       "      <td>234</td>\n",
       "      <td>270</td>\n",
       "      <td>318</td>\n",
       "      <td>355</td>\n",
       "      <td>363</td>\n",
       "      <td>420</td>\n",
       "      <td>472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>June</th>\n",
       "      <td>135</td>\n",
       "      <td>149</td>\n",
       "      <td>178</td>\n",
       "      <td>218</td>\n",
       "      <td>243</td>\n",
       "      <td>264</td>\n",
       "      <td>315</td>\n",
       "      <td>374</td>\n",
       "      <td>422</td>\n",
       "      <td>435</td>\n",
       "      <td>472</td>\n",
       "      <td>535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>July</th>\n",
       "      <td>148</td>\n",
       "      <td>170</td>\n",
       "      <td>199</td>\n",
       "      <td>230</td>\n",
       "      <td>264</td>\n",
       "      <td>302</td>\n",
       "      <td>364</td>\n",
       "      <td>413</td>\n",
       "      <td>465</td>\n",
       "      <td>491</td>\n",
       "      <td>548</td>\n",
       "      <td>622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>August</th>\n",
       "      <td>148</td>\n",
       "      <td>170</td>\n",
       "      <td>199</td>\n",
       "      <td>242</td>\n",
       "      <td>272</td>\n",
       "      <td>293</td>\n",
       "      <td>347</td>\n",
       "      <td>405</td>\n",
       "      <td>467</td>\n",
       "      <td>505</td>\n",
       "      <td>559</td>\n",
       "      <td>606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>September</th>\n",
       "      <td>136</td>\n",
       "      <td>158</td>\n",
       "      <td>184</td>\n",
       "      <td>209</td>\n",
       "      <td>237</td>\n",
       "      <td>259</td>\n",
       "      <td>312</td>\n",
       "      <td>355</td>\n",
       "      <td>404</td>\n",
       "      <td>404</td>\n",
       "      <td>463</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>October</th>\n",
       "      <td>119</td>\n",
       "      <td>133</td>\n",
       "      <td>162</td>\n",
       "      <td>191</td>\n",
       "      <td>211</td>\n",
       "      <td>229</td>\n",
       "      <td>274</td>\n",
       "      <td>306</td>\n",
       "      <td>347</td>\n",
       "      <td>359</td>\n",
       "      <td>407</td>\n",
       "      <td>461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>November</th>\n",
       "      <td>104</td>\n",
       "      <td>114</td>\n",
       "      <td>146</td>\n",
       "      <td>172</td>\n",
       "      <td>180</td>\n",
       "      <td>203</td>\n",
       "      <td>237</td>\n",
       "      <td>271</td>\n",
       "      <td>305</td>\n",
       "      <td>310</td>\n",
       "      <td>362</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>December</th>\n",
       "      <td>118</td>\n",
       "      <td>140</td>\n",
       "      <td>166</td>\n",
       "      <td>194</td>\n",
       "      <td>201</td>\n",
       "      <td>229</td>\n",
       "      <td>278</td>\n",
       "      <td>306</td>\n",
       "      <td>336</td>\n",
       "      <td>337</td>\n",
       "      <td>405</td>\n",
       "      <td>432</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "year       1949  1950  1951  1952  1953  1954  1955  1956  1957  1958  1959  \\\n",
       "month                                                                         \n",
       "January     112   115   145   171   196   204   242   284   315   340   360   \n",
       "February    118   126   150   180   196   188   233   277   301   318   342   \n",
       "March       132   141   178   193   236   235   267   317   356   362   406   \n",
       "April       129   135   163   181   235   227   269   313   348   348   396   \n",
       "May         121   125   172   183   229   234   270   318   355   363   420   \n",
       "June        135   149   178   218   243   264   315   374   422   435   472   \n",
       "July        148   170   199   230   264   302   364   413   465   491   548   \n",
       "August      148   170   199   242   272   293   347   405   467   505   559   \n",
       "September   136   158   184   209   237   259   312   355   404   404   463   \n",
       "October     119   133   162   191   211   229   274   306   347   359   407   \n",
       "November    104   114   146   172   180   203   237   271   305   310   362   \n",
       "December    118   140   166   194   201   229   278   306   336   337   405   \n",
       "\n",
       "year       1960  \n",
       "month            \n",
       "January     417  \n",
       "February    391  \n",
       "March       419  \n",
       "April       461  \n",
       "May         472  \n",
       "June        535  \n",
       "July        622  \n",
       "August      606  \n",
       "September   508  \n",
       "October     461  \n",
       "November    390  \n",
       "December    432  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = df.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959,\n",
       "            1960],\n",
       "           dtype='int64', name='year')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1520, 1676, 2042, 2364, 2700, 2867, 3408, 3939, 4421, 4572, 5140,\n",
       "       5714])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114fd3ef0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jhSVJQGdm9PcC3YNrGvKS1DmdCPqNwMkAEfFsYFMHakqSao1fdQN8FjghIr4CdAFndKCm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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1145c9588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=s.index, y=s.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114fe2a90>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x114c5eb00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
